An automatic face recognition system in the near infrared spectrum

Publikationstyp
Conference Paper
Date Issued
2005
Sprache
English
Author(s)
Zhao, Shuyan  
Grigat, Rolf-Rainer  
Institut
Bildverarbeitungssysteme E-2  
TORE-URI
http://hdl.handle.net/11420/10183
First published in
Lecture notes in computer science  
Number in series
3587 LNCS
Start Page
437
End Page
444
Citation
Machine learning and data mining in pattern recognition$d4th international conference, MLDM 2005, Leipzig, Germany, July 9 - 11, 2005. - Springer, 2005. - 3587 LNAI (): 437-444 (2005)
Contribution to Conference
4th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2005  
Publisher DOI
10.1007/11510888_43
Scopus ID
2-s2.0-26944437389
Publisher
Springer
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In this paper, we present an automatic face recognition system in the near infrared (IR) spectrum instead of the visible band. By making use of the near infrared band, it is possible for the system to work under very dark visual illumination conditions. A simple hardware enables efficient eye localization, thus the face can be easily detected based on the position of the eyes. This system exploits the feature extraction capabilities of the Discrete Cosine Transform (DCT) which can be calculated very fast. Support Vector Machines (SVMs) are used for classification. The effectiveness of our system is verified by experimental results. © Springer-Verlag Berlin Heidelberg 2005.
DDC Class
004: Informatik
600: Technik
620: Ingenieurwissenschaften